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Parallel Numerical Linear Algebra

by James W. Demmel, Michael T. Heath , Henk A. van der Vorst , 1993
"... We survey general techniques and open problems in numerical linear algebra on parallel architectures. We first discuss basic principles of parallel processing, describing the costs of basic operations on parallel machines, including general principles for constructing efficient algorithms. We illust ..."
Abstract - Cited by 773 (23 self) - Add to MetaCart
We survey general techniques and open problems in numerical linear algebra on parallel architectures. We first discuss basic principles of parallel processing, describing the costs of basic operations on parallel machines, including general principles for constructing efficient algorithms. We

Automatically tuned linear algebra software

by R. Clint Whaley, Jack J. Dongarra - CONFERENCE ON HIGH PERFORMANCE NETWORKING AND COMPUTING , 1998
"... This paper describes an approach for the automatic generation and optimization of numerical software for processors with deep memory hierarchies and pipelined functional units. The production of such software for machines ranging from desktop workstations to embedded processors can be a tedious and ..."
Abstract - Cited by 478 (26 self) - Add to MetaCart
and time consuming process. The work described here can help in automating much of this process. We will concentrate our e orts on the widely used linear algebra kernels called the Basic Linear Algebra Subroutines (BLAS). In particular, the work presented here is for general matrix multiply, DGEMM. However

An Extended Set of Fortran Basic Linear Algebra Subprograms

by Jack J. Dongarra, Jeremy Du Croz, Sven Hammarling, Richard J. Hanson - ACM TRANSACTIONS ON MATHEMATICAL SOFTWARE , 1986
"... This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extensions are targeted at matrix-vector operations which should provide for efficient and portable implementations of algorithms for high performance computers. ..."
Abstract - Cited by 523 (68 self) - Add to MetaCart
This paper describes an extension to the set of Basic Linear Algebra Subprograms. The extensions are targeted at matrix-vector operations which should provide for efficient and portable implementations of algorithms for high performance computers.

Using Linear Algebra for Intelligent Information Retrieval

by Michael W. Berry, Susan T. Dumais - SIAM REVIEW , 1995
"... Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document, lexical ..."
Abstract - Cited by 676 (18 self) - Add to MetaCart
Currently, most approaches to retrieving textual materials from scientific databases depend on a lexical match between words in users' requests and those in or assigned to documents in a database. Because of the tremendous diversity in the words people use to describe the same document, lexical methods are necessarily incomplete and imprecise. Using the singular value decomposition (SVD), one can take advantage of the implicit higher-order structure in the association of terms with documents by determining the SVD of large sparse term by document matrices. Terms and documents represented by 200-300 of the largest singular vectors are then matched against user queries. We call this retrieval method Latent Semantic Indexing (LSI) because the subspace represents important associative relationships between terms and documents that are not evident in individual documents. LSI is a completely automatic yet intelligent indexing method, widely applicable, and a promising way to improve users...

Linear Algebra

by Fisher Yu, Some Prof, Jianxiong Xiao, More Info
"... • Linear algebra review • A complete reconstruction pipeline • Geometric preliminaries • Tools and libraries • Other techniques • Factorization methods • Motion estimation with RGBD ..."
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• Linear algebra review • A complete reconstruction pipeline • Geometric preliminaries • Tools and libraries • Other techniques • Factorization methods • Motion estimation with RGBD

Linear Algebra Operators for GPU Implementation of Numerical Algorithms

by Jens Krüger, Rüdiger Westermann - ACM Transactions on Graphics , 2003
"... In this work, the emphasis is on the development of strategies to realize techniques of numerical computing on the graphics chip. In particular, the focus is on the acceleration of techniques for solving sets of algebraic equations as they occur in numerical simulation. We introduce a framework for ..."
Abstract - Cited by 324 (9 self) - Add to MetaCart
for the implementation of linear algebra operators on programmable graphics processors (GPUs), thus providing the building blocks for the design of more complex numerical algorithms. In particular, we propose a stream model for arithmetic operations on vectors and matrices that exploits the intrinsic parallelism

Benchmarking GPUs to tune dense linear algebra

by Vasily Volkov, James W. Demmel, Geforce Geforce, Geforce Geforce , 2008
"... We present performance results for dense linear algebra using recent NVIDIA GPUs. Our matrix-matrix multiply routine (GEMM) runs up to 60 % faster than the vendor’s implementation and approaches the peak of hardware capabilities. Our LU, QR and Cholesky factorizations achieve up to 80–90 % of the pe ..."
Abstract - Cited by 242 (2 self) - Add to MetaCart
We present performance results for dense linear algebra using recent NVIDIA GPUs. Our matrix-matrix multiply routine (GEMM) runs up to 60 % faster than the vendor’s implementation and approaches the peak of hardware capabilities. Our LU, QR and Cholesky factorizations achieve up to 80

Linear Algebra

by Notation Real Numbers, Jim Hefferon
"... this technical convenience. However, the most important result of this book is that the two senses coincide; we will prove that in the section after this one ..."
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this technical convenience. However, the most important result of this book is that the two senses coincide; we will prove that in the section after this one

Special Topics in Linear Algebra

by Valentin Matache, Valentin Matache
"... This is a special topics in linear algebra course taught in the summer of ..."
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This is a special topics in linear algebra course taught in the summer of

Teaching Linear Algebra at University

by J. -l. Dorier , 2003
"... Linear algebra represents, with calculus, the two main mathematical subjects taught in science universities. However this teaching has always been difficult. In the last two decades, it became an active area for research works in mathematics education in several countries. Our goal is to give a synt ..."
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Linear algebra represents, with calculus, the two main mathematical subjects taught in science universities. However this teaching has always been difficult. In the last two decades, it became an active area for research works in mathematics education in several countries. Our goal is to give a
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